Yue Wang

Sample-Efficient Distributionally Robust Multi-Agent Reinforcement Learning via Online Interaction

Provably Sample-Efficient Robust Reinforcement Learning with Average Reward

Multi-Objective Markov Games: Theoretic Foundations and Learning Algorithms

Sample-Efficient Online Distributionally Robust Reinforcement Learning via General Function Approximation

Preference-Guided Reinforcement Learning with Automaton-Based Specifications in Non-Markovian Settings

Model-Free Offline Reinforcement Learning with Enhanced Robustness

A Reduction Framework for Distributionally Robust Reinforcement Learning under Average Reward

Pessimism Principle Can Be Effective: Towards a Framework for Zero-Shot Transfer Reinforcement Learning